Update app.py

app.py

@@ -1,6 +1,5 @@
 # Importing the requirements
 # import warnings
-
 # warnings.filterwarnings("ignore")
 
 import gradio as gr
@@ -9,10 +8,10 @@ from src.model import describe_video
 
 # Video and text inputs for the interface
 video = gr.Video(label="Video")
-query = gr.Textbox(label="Query", placeholder="Type your query here")
+query = gr.Textbox(label="Question", placeholder="Enter your question here")
 
 # Output for the interface
-response = gr.Textbox(label="Response", show_label=True, show_copy_button=True)
+response = gr.Textbox(label="Predicted answer", show_label=True, show_copy_button=True)
 
 # Examples for the interface
 examples = [
@@ -29,8 +28,8 @@ examples = [
 
 # Title, description, and article for the interface
 title = "Video Understanding & Question Answering"
-description = "This Gradio demo uses the MiniCPM-V-2_6 model for video understanding tasks. Upload a video and type a question to get a detailed description or specific information from the video."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2407.03320' target='_blank'>InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output</a> | <a href='https://huggingface.co/internlm/internlm-xcomposer2d5-7b' target='_blank'>Model Page</a></p>"
+description = "This Gradio demo uses the MiniCPM-V-2_6 model for video understanding tasks. To use it, simply upload your video and type a question and click 'submit', or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://github.com/OpenBMB/MiniCPM-V' target='_blank'>Model GitHub Repo</a> | <a href='https://huggingface.co/openbmb/MiniCPM-V-2_6' target='_blank'>Model Page</a></p>"
 
 
 # Launch the interface